A Task-Oriented Grasping Framework Guided by Visual Semantics for Mobile Manipulators

Zhang, G. orcid.org/0009-0009-7811-065X, Wang, S. orcid.org/0000-0001-5620-9151, Xie, Y. orcid.org/0000-0003-1158-1587 et al. (3 more authors) (2024) A Task-Oriented Grasping Framework Guided by Visual Semantics for Mobile Manipulators. IEEE Transactions on Instrumentation and Measurement, 73. 7504213. ISSN 0018-9456

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Item Type: Article
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Keywords: Absence of object information, deep learning, mobile manipulator, task-oriented robotic grasping, visual semantics
Dates:
  • Published: 12 April 2024
  • Published (online): 25 March 2024
  • Accepted: 10 March 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 03 May 2024 09:27
Last Modified: 03 May 2024 09:27
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Identification Number: 10.1109/tim.2024.3381662
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